{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a0bd50d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "415fc53e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>行 ID</th>\n",
       "      <th>订单 ID</th>\n",
       "      <th>订单日期</th>\n",
       "      <th>发货日期</th>\n",
       "      <th>邮寄方式</th>\n",
       "      <th>客户 ID</th>\n",
       "      <th>客户名称</th>\n",
       "      <th>细分</th>\n",
       "      <th>城市</th>\n",
       "      <th>省/自治区</th>\n",
       "      <th>国家</th>\n",
       "      <th>地区</th>\n",
       "      <th>产品 ID</th>\n",
       "      <th>类别</th>\n",
       "      <th>子类别</th>\n",
       "      <th>产品名称</th>\n",
       "      <th>销售额</th>\n",
       "      <th>数量</th>\n",
       "      <th>折扣</th>\n",
       "      <th>利润</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>US-202023-1357144</td>\n",
       "      <td>2024/04/27</td>\n",
       "      <td>2024/04/29</td>\n",
       "      <td>二级</td>\n",
       "      <td>曾惠-14485</td>\n",
       "      <td>曾惠</td>\n",
       "      <td>公司</td>\n",
       "      <td>杭州</td>\n",
       "      <td>浙江</td>\n",
       "      <td>中国</td>\n",
       "      <td>华东</td>\n",
       "      <td>办公用-用品-10002717</td>\n",
       "      <td>办公用品</td>\n",
       "      <td>用品</td>\n",
       "      <td>Fiskars 剪刀, 蓝色</td>\n",
       "      <td>129.696</td>\n",
       "      <td>2</td>\n",
       "      <td>0.4</td>\n",
       "      <td>-60.704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>CN-202023-1973789</td>\n",
       "      <td>2024/06/15</td>\n",
       "      <td>2024/06/19</td>\n",
       "      <td>标准级</td>\n",
       "      <td>许安-10165</td>\n",
       "      <td>许安</td>\n",
       "      <td>消费者</td>\n",
       "      <td>内江</td>\n",
       "      <td>四川</td>\n",
       "      <td>中国</td>\n",
       "      <td>西南</td>\n",
       "      <td>办公用-信封-10004832</td>\n",
       "      <td>办公用品</td>\n",
       "      <td>信封</td>\n",
       "      <td>GlobeWeis 搭扣信封, 红色</td>\n",
       "      <td>125.440</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42.560</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   行 ID              订单 ID        订单日期        发货日期 邮寄方式     客户 ID 客户名称   细分  \\\n",
       "0     1  US-202023-1357144  2024/04/27  2024/04/29   二级  曾惠-14485   曾惠   公司   \n",
       "1     2  CN-202023-1973789  2024/06/15  2024/06/19  标准级  许安-10165   许安  消费者   \n",
       "\n",
       "   城市 省/自治区  国家  地区            产品 ID    类别 子类别                产品名称      销售额  \\\n",
       "0  杭州    浙江  中国  华东  办公用-用品-10002717  办公用品  用品      Fiskars 剪刀, 蓝色  129.696   \n",
       "1  内江    四川  中国  西南  办公用-信封-10004832  办公用品  信封  GlobeWeis 搭扣信封, 红色  125.440   \n",
       "\n",
       "   数量   折扣      利润  \n",
       "0   2  0.4 -60.704  \n",
       "1   2  0.0  42.560  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_excel('./data/商城详细销售数据.xlsx')\n",
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cfe3cb4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    20\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().any().value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0a0e77c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.duplicated().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3e46ae70",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 9959 entries, 0 to 9958\n",
      "Data columns (total 20 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   行 ID    9959 non-null   int64  \n",
      " 1   订单 ID   9959 non-null   object \n",
      " 2   订单日期    9959 non-null   object \n",
      " 3   发货日期    9959 non-null   object \n",
      " 4   邮寄方式    9959 non-null   object \n",
      " 5   客户 ID   9959 non-null   object \n",
      " 6   客户名称    9959 non-null   object \n",
      " 7   细分      9959 non-null   object \n",
      " 8   城市      9959 non-null   object \n",
      " 9   省/自治区   9959 non-null   object \n",
      " 10  国家      9959 non-null   object \n",
      " 11  地区      9959 non-null   object \n",
      " 12  产品 ID   9959 non-null   object \n",
      " 13  类别      9959 non-null   object \n",
      " 14  子类别     9959 non-null   object \n",
      " 15  产品名称    9959 non-null   object \n",
      " 16  销售额     9959 non-null   float64\n",
      " 17  数量      9959 non-null   int64  \n",
      " 18  折扣      9959 non-null   float64\n",
      " 19  利润      9959 non-null   float64\n",
      "dtypes: float64(3), int64(2), object(15)\n",
      "memory usage: 1.5+ MB\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>行 ID</th>\n",
       "      <th>销售额</th>\n",
       "      <th>数量</th>\n",
       "      <th>折扣</th>\n",
       "      <th>利润</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>9959.000000</td>\n",
       "      <td>9959.000000</td>\n",
       "      <td>9959.000000</td>\n",
       "      <td>9959.000000</td>\n",
       "      <td>9959.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5002.143187</td>\n",
       "      <td>1613.510807</td>\n",
       "      <td>3.768852</td>\n",
       "      <td>0.106406</td>\n",
       "      <td>215.638008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2886.562485</td>\n",
       "      <td>2641.237786</td>\n",
       "      <td>2.236739</td>\n",
       "      <td>0.187477</td>\n",
       "      <td>858.710532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>13.440000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-7978.320000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2508.500000</td>\n",
       "      <td>250.460000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.756000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5003.000000</td>\n",
       "      <td>636.300000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>74.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7503.500000</td>\n",
       "      <td>1785.210000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>277.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>10000.000000</td>\n",
       "      <td>35621.355000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>10108.280000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               行 ID           销售额           数量           折扣            利润\n",
       "count   9959.000000   9959.000000  9959.000000  9959.000000   9959.000000\n",
       "mean    5002.143187   1613.510807     3.768852     0.106406    215.638008\n",
       "std     2886.562485   2641.237786     2.236739     0.187477    858.710532\n",
       "min        1.000000     13.440000     1.000000     0.000000  -7978.320000\n",
       "25%     2508.500000    250.460000     2.000000     0.000000      7.756000\n",
       "50%     5003.000000    636.300000     3.000000     0.000000     74.200000\n",
       "75%     7503.500000   1785.210000     5.000000     0.200000    277.200000\n",
       "max    10000.000000  35621.355000    14.000000     0.800000  10108.280000"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>订单 ID</th>\n",
       "      <th>订单日期</th>\n",
       "      <th>发货日期</th>\n",
       "      <th>邮寄方式</th>\n",
       "      <th>客户 ID</th>\n",
       "      <th>客户名称</th>\n",
       "      <th>细分</th>\n",
       "      <th>城市</th>\n",
       "      <th>省/自治区</th>\n",
       "      <th>国家</th>\n",
       "      <th>地区</th>\n",
       "      <th>产品 ID</th>\n",
       "      <th>类别</th>\n",
       "      <th>子类别</th>\n",
       "      <th>产品名称</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>9959</td>\n",
       "      <td>9959</td>\n",
       "      <td>9959</td>\n",
       "      <td>9959</td>\n",
       "      <td>9959</td>\n",
       "      <td>9959</td>\n",
       "      <td>9959</td>\n",
       "      <td>9959</td>\n",
       "      <td>9959</td>\n",
       "      <td>9959</td>\n",
       "      <td>9959</td>\n",
       "      <td>9959</td>\n",
       "      <td>9959</td>\n",
       "      <td>9959</td>\n",
       "      <td>9959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>2770</td>\n",
       "      <td>1238</td>\n",
       "      <td>1364</td>\n",
       "      <td>4</td>\n",
       "      <td>790</td>\n",
       "      <td>771</td>\n",
       "      <td>3</td>\n",
       "      <td>573</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>1955</td>\n",
       "      <td>3</td>\n",
       "      <td>17</td>\n",
       "      <td>1953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>CN-202021-4150128</td>\n",
       "      <td>2024/08/05</td>\n",
       "      <td>2024/12/22</td>\n",
       "      <td>标准级</td>\n",
       "      <td>邓惠-14470</td>\n",
       "      <td>黄磊</td>\n",
       "      <td>消费者</td>\n",
       "      <td>上海</td>\n",
       "      <td>山东</td>\n",
       "      <td>中国</td>\n",
       "      <td>华东</td>\n",
       "      <td>办公用-器具-10003836</td>\n",
       "      <td>办公用品</td>\n",
       "      <td>装订机</td>\n",
       "      <td>Stockwell 图钉, 每包 12 个</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>21</td>\n",
       "      <td>36</td>\n",
       "      <td>30</td>\n",
       "      <td>5801</td>\n",
       "      <td>38</td>\n",
       "      <td>42</td>\n",
       "      <td>5097</td>\n",
       "      <td>292</td>\n",
       "      <td>914</td>\n",
       "      <td>9959</td>\n",
       "      <td>2944</td>\n",
       "      <td>16</td>\n",
       "      <td>5687</td>\n",
       "      <td>883</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    订单 ID        订单日期        发货日期  邮寄方式     客户 ID  客户名称    细分  \\\n",
       "count                9959        9959        9959  9959      9959  9959  9959   \n",
       "unique               2770        1238        1364     4       790   771     3   \n",
       "top     CN-202021-4150128  2024/08/05  2024/12/22   标准级  邓惠-14470    黄磊   消费者   \n",
       "freq                   21          36          30  5801        38    42  5097   \n",
       "\n",
       "          城市 省/自治区    国家    地区            产品 ID    类别   子类别  \\\n",
       "count   9959  9959  9959  9959             9959  9959  9959   \n",
       "unique   573    31     1     6             1955     3    17   \n",
       "top       上海    山东    中国    华东  办公用-器具-10003836  办公用品   装订机   \n",
       "freq     292   914  9959  2944               16  5687   883   \n",
       "\n",
       "                         产品名称  \n",
       "count                    9959  \n",
       "unique                   1953  \n",
       "top     Stockwell 图钉, 每包 12 个  \n",
       "freq                       18  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(data.info(),data.describe(),data.describe(include='O'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b62f6457",
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "\n",
    "def plot_distribution(dataset,width=20,heigth=40,cols=3,hspace=0.5,wspace=0.5):\n",
    "    '''绘制分布'''\n",
    "    fig = plt.figure(figsize=(width,heigth))\n",
    "    rows = math.ceil(dataset.shape[1]/cols)\n",
    "    fig.subplots_adjust(hspace=hspace,wspace=wspace)\n",
    "    for i,column in enumerate(dataset.columns):\n",
    "        ax = fig.add_subplot(rows,cols,i+1)\n",
    "        ax.set_title(column)\n",
    "        if dataset.dtypes[column] == 'object':\n",
    "            sns.countplot(data=dataset,x=column,ax=ax)\n",
    "        else:\n",
    "            sns.histplot(data=dataset,kde=True,x=column,ax=ax)\n",
    "        plt.xticks(rotation=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5110355e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['行 ID', '订单 ID', '订单日期', '发货日期', '邮寄方式', '客户 ID', '客户名称', '细分', '城市',\n",
       "       '省/自治区', '国家', '地区', '产品 ID', '类别', '子类别', '产品名称', '销售额', '数量', '折扣',\n",
       "       '利润'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7d54afbc",
   "metadata": {},
   "outputs": [],
   "source": [
    "distirbute = data.drop(['行 ID', '订单 ID','订单日期', '发货日期','客户 ID', '客户名称','产品 ID', '产品名称', '城市'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4adb4700",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x4000 with 11 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_distribution(distirbute)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "data_ana_project_env",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
